Abstract
As machine learning has become increasingly popular over the last few decades, so too has the number of machine-learning interfaces for implementing these models. Whilst many R libraries exist for machine learning, very few offer extended support for survival analysis. This is problematic considering its importance in fields like medicine, bioinformatics, economics, engineering and more. mlr3proba provides a comprehensive machine-learning interface for survival analysis and connects with mlr3's general model tuning and benchmarking facilities to provide a systematic infrastructure for survival modelling and evaluation.
| Item Type: | Journal article |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Statistics |
| Subjects: | 500 Science > 510 Mathematics |
| ISSN: | 1367-4803 |
| Language: | English |
| Item ID: | 102214 |
| Date Deposited: | 05. Jun 2023 15:39 |
| Last Modified: | 05. Jun 2023 15:39 |
